Jing Xiang

66 total papers · 1.7k total citations
49 papers, 1.3k citations indexed

About

Jing Xiang is a scholar working on Plant Science, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Jing Xiang has authored 49 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Plant Science, 10 papers in Genetics and 5 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Jing Xiang's work include Rice Cultivation and Yield Improvement (33 papers), Plant responses to water stress (23 papers) and GABA and Rice Research (13 papers). Jing Xiang is often cited by papers focused on Rice Cultivation and Yield Improvement (33 papers), Plant responses to water stress (23 papers) and GABA and Rice Research (13 papers). Jing Xiang collaborates with scholars based in China, Philippines and United States. Jing Xiang's co-authors include Kehui Cui, Jianliang Huang, Lixiao Nie, Defeng Zhu, Shaobing Peng, Yuping Zhang, Huizhe Chen, Yikai Zhang, Mingxia Chen and Wei Dong and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Jing Xiang

45 papers receiving 1.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jing Xiang 1.1k 292 186 148 130 49 1.3k
Defeng Zhu 1.3k 1.2× 225 0.8× 216 1.2× 234 1.6× 129 1.0× 77 1.5k
Junko Yamagishi 1.2k 1.1× 256 0.9× 221 1.2× 152 1.0× 217 1.7× 67 1.4k
Kazuto Iwama 946 0.8× 169 0.6× 191 1.0× 144 1.0× 73 0.6× 57 1.1k
Guanglong Zhu 1.0k 0.9× 169 0.6× 238 1.3× 84 0.6× 55 0.4× 71 1.2k
Pompe C. Sta. Cruz 930 0.8× 368 1.3× 201 1.1× 117 0.8× 74 0.6× 71 1.1k
Wang Shu 783 0.7× 169 0.6× 112 0.6× 111 0.8× 172 1.3× 75 1.1k
Qianyu Jin 1.5k 1.4× 253 0.9× 145 0.8× 115 0.8× 79 0.6× 54 1.7k
Muhammad Aslam 1.0k 0.9× 177 0.6× 285 1.5× 77 0.5× 57 0.4× 82 1.3k
İhsanullah Daur 1.1k 0.9× 230 0.8× 241 1.3× 92 0.6× 39 0.3× 50 1.3k
Somayanda M. Impa 1.4k 1.3× 312 1.1× 271 1.5× 178 1.2× 162 1.2× 32 1.6k

Countries citing papers authored by Jing Xiang

Since Specialization
Citations

This map shows the geographic impact of Jing Xiang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jing Xiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Xiang more than expected).

Fields of papers citing papers by Jing Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jing Xiang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jing Xiang. The network helps show where Jing Xiang may publish in the future.

Co-authorship network of co-authors of Jing Xiang

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Xiang. A scholar is included among the top collaborators of Jing Xiang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jing Xiang. Jing Xiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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